Case study
AquaSonic Car Wash
Automotive & car wash
Which locations will perform before we invest?
Sales forecasting and high-performing site prioritization before capital deployment.
Problem
What was at stake?
Capital-intensive expansion with limited margin for error on site selection.
MapZot.AI work
How the decision was modeled.
Outcome
What became clearer?
Cost of being wrong
$4M–$5M per site
Wrong site selection leads to long payback periods and weak membership adoption.
The goal was not more data. The goal was a cleaner decision before capital, lease commitments, buildout time, and leadership attention were locked in.
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Related location decisions
Franchise & multi-unit
BIGGBY Franchisee
next locations
Where should we open the next 20 — and which stores should close or relocate?
Next-market planning plus close / relocate recommendations.
Emerging restaurants
Ahi & Vegetable
right location
We may only open one store. Can we forecast it accurately?
Precision site modeling for one high-confidence opening over 12–18 months.
Healthcare
Heartland Dental
model accuracy
Can we scale denovo expansion with institutional accuracy?
Denovo model with gap analysis and cannibalization control.